Senior Data Engineer

Role: Senior Data Engineer

Function: Data Engineering

Location: Not specified

Type: Full-time

Compensation: Not specified

Industry: Information Technology & Services / AI / Computer Vision

About Compan

yThe company is an AI-powered technology firm based in Santa Monica, California, founded in 2017. It uses computer vision and deep learning to enable checkout-free, frictionless experiences at physical locations

.Today, it is the largest parking operator in North America, operating across 4,500+ locations. The technology is expanding into retail, fueling, airports, and beyond

.Backed by $4.1B in Series D funding, the company has a team of 20,000 and is scaling fast

.
Position Overvi

ewAs a Senior Data Engineer, you will play a key role in shaping both customer-facing and business-facing data products that align with the company's mission. Your technical expertise will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. You will join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyon

d.
Role & Responsibilit

• iesCollaborate with engineers, product managers, and data scientists to develop end-to-end data pipelines, solutions, and foundational data s
• etsDesign and own the data architecture for large-scale projects, making informed decisions about design and operational trade-o
• ffsBuild, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or doma
• insDefine and manage Service Level Agreements (SLAs) for all data sets within areas of owners
• hipImplement data security models based on privacy requirements, ensure compliance with safeguards, and evolve data governance proces
• sesSolve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sour
• cesOptimize pipelines, dashboards, frameworks, and systems to streamline data artifact developm
• entMentor team members, providing and receiving actionable feedback to foster skill growth and collaborat

ion
Must Have Crit

• eria5+ years of experience in data engineering, data warehousing, and ETL/ELT, working with large data sets in the c
• loudStrong proficiency in SQL and data modeling, with hands-on experience in Snowflake and
• dbt5+ years of Python development experience, including building scalable Big Data solutions and ETL ecosys
• temsHands-on experience with RDBMS — MySQL, PostgreSQL, and MS SQL Se
• rverExperience with Apache Airflow for pipeline orchestration and working knowledge of CI/CD pipel
• inesExperience with Spark and PySpark for large-scale data proces
• singStrong proficiency in Terraform for infrastructure-as-

code
Nice to

• HaveMaster's degree in Computer Science, Computer Engineering, or a related technical
• fieldExperience with Automic or similar enterprise job scheduling/integration
• toolsPrior experience in a high-growth startup or scaleup environment handling petabyte-scale
• dataFamiliarity with AWS data services (S3, Glue, Redshift, Lambda) in production environ
• mentsExperience with Datadog for pipeline observability and monit

oring
What We

• OfferOpportunity to build data infrastructure that impacts millions of real-world transactions
• dailyWork with a world-class data engineering team at a Series D company with $4.1B in f
• undingFast-paced, ownership-driven culture that encourages innovation and challenges the stat
• us quoCareer growth opportunities in data engineering and adjacent technical d
• omainsExposure to cutting-edge AI and computer vision technology at massive